faq

Not necessarily! Many tools can run on standard hardware, especially with smaller models or CPU-optimized versions. Of course, having a GPU (like an NVIDIA or AMD card) helps a lot — but I always try to show options that work for different setups.

I focus on open and local-friendly tools — things like Ollama, LM Studio, FastAPI, n8n, and ComfyUI. Anything that helps you build and run AI systems fully on your own machine.

Running AI locally gives you control, privacy, and independence. When models run directly on your machine, your data never leaves your device — no external servers, no tracking, no subscriptions.

It also means faster iteration and offline access: you can experiment, prototype, and test without depending on an internet connection or external API limits. Performance is often comparable once models are loaded, and you can optimize your setup over time.

Finally, local AI fosters ownership and learning — you understand exactly how things work under the hood and aren't locked into one company’s ecosystem.

Whenever something new catches my eye! I try to keep up with the latest AI developments and tools, so new content appears regularly — especially when there’s a cool update worth testing or a new open-source project to try out.